Machine Learning-Based Tourism Site Recommendation System: A Case Study in Loja

Luis Sánchez (), Priscila Valdiviezo-Diaz () and Clara Gonzaga-Vallejo ()
Additional contact information
Luis Sánchez: Universidad Técnica Particular de Loja, Computer Science and Electronic Department
Priscila Valdiviezo-Diaz: Universidad Técnica Particular de Loja, Computer Science and Electronic Department
Clara Gonzaga-Vallejo: Universidad Técnica Particular de Loja, Business Sciences Department

Chapter 16 in Management, Tourism, and Smart Technologies, Vol 2, 2026, pp 201-210 from Springer

Abstract: Abstract Loja city in Ecuador boasts a wide range of tourist attractions, and it can be overwhelming for visitors to decide where to go due to the numerous options available. To address this issue, this paper employs a collaborative filtering-based recommendation model to provide users with personalized suggestions based on their past ratings. We tested two machine learning models: KNN and SVD, as well as the Autoencoder deep learning model, on the Loja City tourism sites dataset. These algorithms were evaluated using standard metrics such as RMSE, Precision, and Recall. The results show that SVD outperforms both KNN and the Autoencoder deep learning model. This finding confirms the effectiveness of SVD in capturing latent factors in sparse data, thereby improving the quality of tourism recommendations.

Keywords: deep learning; machine learning; recommender system; tourism (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-24600-4_16

Ordering information: This item can be ordered from
http://www.springer.com/9783032246004

DOI: 10.1007/978-3-032-24600-4_16

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().